
AI Scientist - Palo Alto (Internship (Phd) - Mistral
View Company Profile- Job Title
- AI Scientist - Palo Alto (Internship (Phd)
- Job Location
- Palo Alto
- Job Description
- About Mistral-At Mistral AI, we are a tight-knit, nimble team dedicated to bringing our cutting-edge AI technology to the world. Our mission is to make AI ubiquitous and open.-We are creative, low-ego, team-spirited, and have been passionate about AI for years.-We hire people that foster in competitive environments, because they find them more fun to work in.-We hire passionate women and men from all over the world.-Our teams are distributed between France, UK and USARole Summary-You will be working with the fine tuning team on making state-of-the-art generative models.-You will run autonomous work streams under the supervision of experienced scientists.-The role is based in our Bay area offices-Internship duration : 3 to 6 months. We will only consider candidates looking for end of studies internships (Phd)Key Responsibilities-Explore state-of-the-art LLM algorithms for fine tuning LLMs, with the supervision of top level scientists.-Assist in the design and implementation of machine learning models and algorithms.-Conduct research on the latest advancements in natural language processing and LLMs.-Contribute to the development and optimization of our LLM systems.-Collaborate with cross-functional teams to integrate LLM technologies into various applications.-Perform data analysis and visualization to support research and development efforts.-Document research findings and contribute to technical reports and publications.-Participate in team meetings and brainstorming sessions to share ideas and insightsQualifications & profile-Currently doing a Phd from tier 1 engineering schools / Universities.-High scientific understanding of the field of generative AI.-Broad knowledge of the field of AI, and specific knowledge or interest in fine-tuning and using language models for applications.-Strong programming skills in Python, with experience in libraries such as TensorFlow, PyTorch, or similar.-Familiarity with natural language processing techniques and machine learning algorithms.-Design complex software and make them usable in production.-Navigate the full MLOps technical stack, with a focus on architecture development and model evaluation and usage.-Previous experience with LLMs or related technologies.-Knowledge of deep learning frameworks and techniques..Experience with version control systems (e.g., Git) and linux shell environment.Now, it would be ideal if you :-Have experience in fine tuning LLMs.-Have used complex HPC infrastructure with full autonomy.BenefitsAttractive cash compensation
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Mistral Company Size
Between 50 - 100 employees
Mistral Founded Year
2023
Mistral Funding Rounds
View funding detailsCorporate Round
$16,260,744 EUR
Series A
$414,462,034 EUR
Seed
$113,291,218 EUR